Evidence map›Paper›PMID 36031463›Full record

ArticleThe Journal of hand surgery2022

Preoperative Patient-Reported Data Indicate the Risk of Prolonged Opioid Use After Hand and Upper Extremity Surgeries.

Michael M Shipp, Kavya K Sanghavi, Paul Kolm, Gongliang Zhang, Kristen E Miller, Aviram M Giladi

Open access · greenAbstract read
In one paragraph

Article in The Journal of hand surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Michael M ShippThe Curtis National Hand Center, MedStar Union Memorial Hospital, Baltimore, MD.
Kavya K SanghaviThe Curtis National Hand Center, MedStar Union Memorial Hospital, Baltimore, MD; MedStar Health Research Institute, Hyattsville, MD.
Paul KolmMedStar Health Research Institute, Hyattsville, MD.
Gongliang ZhangThe Curtis National Hand Center, MedStar Union Memorial Hospital, Baltimore, MD; MedStar Health Research Institute, Hyattsville, MD.
Kristen E MillerMedStar Health Research Institute, Hyattsville, MD; National Center for Human Factors in Healthcare, MedStar Health Research Institute, Hyattsville, MD.
Aviram M GiladiThe Curtis National Hand Center, MedStar Union Memorial Hospital, Baltimore, MD. Electronic address: editor@curtishand.com.
MedStar Union Memorial Hospital · USMedStar Health · US

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
NCATS NIH HHS UL1 TR001409
6 · The paper itself

Abstract

purposeOpioids play an important role in pain management after surgery but also increase the risk of prolonged opioid use in patients. The identification of patients who are more likely to use opioids after intended short-term treatment is critical for employing alternative management approaches or targeted interventions for the prevention of opioid-related problems. We used patient-reported data (PRD) and electronic health record information to identify factors predictive of prolonged opioid use after surgery.

methodsWe used our institutional registry containing data on all patients who underwent elective upper extremity surgeries. We evaluated factors associated with prolonged opioid use in the cohort from the year 2018 to 2019. We then validated our results using the 2020 cohort. The predictive variables included preoperative PRD and electronic health record data. Opioid use was determined based on patient reports and/or filled opioid prescriptions 3 months after surgery. We conducted bivariate regression, followed by multivariable regression analyses, and model validation using area under the receiver operating curve.

resultsWe included 2,114 patients. In our final model on the 2018-2019 electronic health records and PRD data (n = 1,589), including numerous patient-reported outcome questionnaire scores, patients who were underweight and had undergone trauma-related surgery had higher odds of being on opioids at 3 months. Additionally, each 5-unit decrease in the preoperative Patient-Reported Outcomes Measurement Information System Global Physical Health score was associated with a 30% increased odds of being on opioids at 3 months. The area under the receiver operating curve of our model was 70.4%. On validation using data from the 2020 cohort, the area under the receiver operating curve was 60.3%. The Hosmer-Lemeshow test indicated a good fit.

conclusionsWe found that preoperative questionnaire scores were associated with prolonged postoperative opioid use, independent of other variables. Furthermore, PRD may provide unique patient-level insights, alongside other factors, to improve our understanding of postsurgical pain management. TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic II.

Indexed as

Analgesics, OpioidOpioid-Related DisordersHumansPatient Reported Outcome MeasuresPostoperative PainRetrospective StudiesUpper ExtremityAnalgesics, OpioidHand surgeryopioidsopioid use disorderpatient-reported dataupper extremity surgery

Identifiers

PMID36031463
PMCPMC9637740
OpenAlexW4293162137

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.